What is the resource scheduler in Spark?
In Spark, the resource scheduler is the component responsible for managing and allocating cluster resources. It is in charge of assigning tasks to various nodes in the cluster to ensure efficient execution on available resources. Spark offers multiple resource schedulers to choose from, including local mode, Standalone mode, YARN, and Mesos. Users can select the appropriate resource scheduler based on their needs and cluster environment. The resource scheduler plays a crucial role in Spark, enhancing task execution efficiency and performance.